Papers
Privacy-Preserving Argumentative Explanations (Student Abstract)
Ungsik Kim, Minjae Lee, Jiho Bae et al.
Privacy Preserving In-Context-Learning Framework for Large Language Models
Bishnu Bhusal, Manoj Acharya, Ramneet Kaur et al.
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
Yunfeng Ning, Mayi Xu, Jintao Wen et al.
Private Frequency Estimation via Residue Number Systems
Héber Hwang Arcolezi
PrivSV: Differentially Private Steering Vector for Large Language Models
Haocheng Yang, Xiang Cheng, Chenhao Sun et al.
Proactive Constrained Policy Optimization with Preemptive Penalty
Ning Yang, Pengyu Wang, Guoqing Liu et al.
ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics
Kaiwen Cheng, Yutian Liu, Zhiwei Nie et al.
Probabilistic Deformation Consistency for Unsupervised Shape Matching
Yifan Xia, Tianwei Ye, Jun Huang et al.
Probabilistic Hash Embeddings for Online Learning of Categorical Features
Aodong Li, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy
Probabilistic Hierarchical Goal Network Planning with UCT
David H. Chan, Mark Roberts, Dana S. Nau
Probabilistic Safety Verification of Neural Policies via Predicate Abstraction
Marcel Vinzent, Holger Hermanns, Jörg Hoffmann
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
Manh Nguyen, Sunil Gupta, Hung Le
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
Ganxi Xu, Jinyi Long, Jia Zhang
ProBench: Benchmarking GUI Agents with Accurate Process Information
Leyang Yang, Ziwei Wang, Xiaoxuan Tang et al.
Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division
Jaroslaw Byrka, Franciszek Malinka, Tomasz Ponitka
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
Chenglong Wang, Yifu Huo, Yang Gan et al.
Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
Xuankun Rong, Wenke Huang, Wenzheng Jiang et al.
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias
Rik Adriaensen, Lucas Van Praet, Jessa Bekker et al.
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
Fanpu Cao, Yaofo Chen, Zeng You et al.
ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting
Jiaqi Xue, Hongji Dong, Yucen Gao et al.
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
Ke Zhang, Tianyu Ding, Jiachen Jiang et al.
ProEthica: A Professional Role Based Ethical Analysis Tool Using LLM-Orchestrated, Ontology Supported Case Based Reasoning
Christopher B. Rauch, Rosina O. Weber
ProFuser: Progressive Fusion of Large Language Models
Tianyuan Shi, Fanqi Wan, Canbin Huang et al.
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
Weigang Lu, Ziyu Guan, Wei Zhao et al.
ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs
Minbae Park, Hyemin Yang, Jeonghyun Kim et al.